An Integrated Framework of Lateral and Longitudinal Behavior Decision-Making for Autonomous Driving Using Reinforcement Learning-Reference-Cited by-同舟云学术

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An Integrated Framework of Lateral and Longitudinal Behavior Decision-Making for Autonomous Driving Using Reinforcement Learning

Published:2024-07 Issue:7 Volume:73 Page:9706-9720
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Ni Haoyuan¹^ORCID,Yu Guizhen¹^ORCID,Chen Peng¹^ORCID,Zhou Bin¹^ORCID,Liao Yaping¹^ORCID,Li Han¹^ORCID

Affiliation:

1. Key Laboratory of Autonomous Transportation Technology for Special Vehicles, Ministry of Industry and Information Technology, School of Transportation Science and Engineering, Beihang University, Beijing, China

Funder

National Key Technologies R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10606142/10472707.pdf?arnumber=10472707

Reference55 articles.

1. Decision-Making Strategy on Highway for Autonomous Vehicles Using Deep Reinforcement Learning

2. Pedestrians, Autonomous Vehicles, and Cities

3. Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice

4. Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

5. An Integrated Decision-Making Framework for Highway Autonomous Driving Using Combined Learning and Rule-Based Algorithm

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